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Does the public discuss other topics on climate change than researchers? A comparison of explorative networks based on author keywords and hashtags

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  • Haunschild, Robin
  • Leydesdorff, Loet
  • Bornmann, Lutz
  • Hellsten, Iina
  • Marx, Werner

Abstract

Twitter accounts have already been used in many scientometric studies, but the meaningfulness of the data for societal impact measurements in research evaluation has been questioned. Earlier research focused on social media counts and neglected the interactive nature of the data. We explore a new network approach based on Twitter data in which we compare author keywords to hashtags as indicators of topics. We analyze the topics of tweeted publications and compare them with the topics of all publications (tweeted and not tweeted). Our exploratory study is based on a comprehensive publication set of climate change research. We are interested in whether Twitter data are able to reveal topics of public discussions which can be separated from research-focused topics. We find that the most tweeted topics regarding climate change research focus on the consequences of climate change for humans. Twitter users are interested in climate change publications which forecast effects of a changing climate on the environment and to adaptation, mitigation and management issues rather than in the methodology of climate-change research and causes of climate change. Our results indicate that publications using scientific jargon are less likely to be tweeted than publications using more general keywords. Twitter networks seem to be able to visualize public discussions about specific topics.

Suggested Citation

  • Haunschild, Robin & Leydesdorff, Loet & Bornmann, Lutz & Hellsten, Iina & Marx, Werner, 2019. "Does the public discuss other topics on climate change than researchers? A comparison of explorative networks based on author keywords and hashtags," Journal of Informetrics, Elsevier, vol. 13(2), pages 695-707.
    • Handle: RePEc:eee:infome:v:13:y:2019:i:2:p:695-707
    DOI: 10.1016/j.joi.2019.03.008
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    Citations

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    Cited by:

    1. Lutz Bornmann & Rüdiger Mutz & Robin Haunschild & Felix Moya-Anegon & Mirko Almeida Madeira Clemente & Moritz Stefaner, 2021. "Mapping the impact of papers on various status groups in excellencemapping.net: a new release of the excellence mapping tool based on citation and reader scores," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 9305-9331, November.
    2. Taemin Kim & Jeesun Kim, 2021. "How Spatial Distance and Message Strategy in Cause-Related Marketing Ads Influence Consumers’ Ad Believability and Attitudes," Sustainability, MDPI, vol. 13(12), pages 1-15, June.
    3. Zhichao Fang & Rodrigo Costas & Wencan Tian & Xianwen Wang & Paul Wouters, 2021. "How is science clicked on Twitter? Click metrics for Bitly short links to scientific publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(7), pages 918-932, July.
    4. Renata Metastasio & Elena Bocci & Paola Passafaro & Francesco Carnovale & Valeria Zenone, 2024. "The Social Representation of Sustainable Mobility: An Exploratory Investigation on Social Media Networks," Sustainability, MDPI, vol. 16(7), pages 1-19, March.
    5. Xie, Qing & Zhang, Xinyuan & Song, Min, 2021. "A network embedding-based scholar assessment indicator considering four facets: Research topic, author credit allocation, field-normalized journal impact, and published time," Journal of Informetrics, Elsevier, vol. 15(4).
    6. Carl A. Latkin & Lauren Dayton & Abigail Winiker & Kennedy Countess & Zoé Mistrale Hendrickson, 2024. "‘They Talk about the Weather, but No One Does Anything about It’: A Mixed-Methods Study of Everyday Climate Change Conversations," IJERPH, MDPI, vol. 21(3), pages 1-19, February.
    7. Xiaozan Lyu & Rodrigo Costas, 2020. "How do academic topics shift across altmetric sources? A case study of the research area of Big Data," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 909-943, May.
    8. Smolinsky, Lawrence & Klingenberg, Bernhard & Marx, Brian D., 2022. "Interpretation and inference for altmetric indicators arising from sparse data statistics," Journal of Informetrics, Elsevier, vol. 16(1).
    9. Thomas Scheidsteger & Robin Haunschild, 2020. "Telling the story of solar energy meteorology into the satellite era by applying (co-citation) reference publication year spectroscopy," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1159-1177, November.
    10. Zhichao Fang & Rodrigo Costas & Paul Wouters, 2022. "User engagement with scholarly tweets of scientific papers: a large-scale and cross-disciplinary analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4523-4546, August.
    11. Zhichao Fang & Rodrigo Costas & Wencan Tian & Xianwen Wang & Paul Wouters, 2020. "An extensive analysis of the presence of altmetric data for Web of Science publications across subject fields and research topics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2519-2549, September.
    12. Lu, Wei & Liu, Zhifeng & Huang, Yong & Bu, Yi & Li, Xin & Cheng, Qikai, 2020. "How do authors select keywords? A preliminary study of author keyword selection behavior," Journal of Informetrics, Elsevier, vol. 14(4).
    13. Rodrigo Costas & Sarah de Rijcke & Noortje Marres, 2021. "“Heterogeneous couplings”: Operationalizing network perspectives to study science‐society interactions through social media metrics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(5), pages 595-610, May.
    14. Wen Shi & Haohuan Fu & Peinan Wang & Changfeng Chen & Jie Xiong, 2020. "#Climatechange vs. #Globalwarming: Characterizing Two Competing Climate Discourses on Twitter with Semantic Network and Temporal Analyses," IJERPH, MDPI, vol. 17(3), pages 1-22, February.
    15. Wenceslao Arroyo-Machado & Daniel Torres-Salinas & Nicolas Robinson-Garcia, 2021. "Identifying and characterizing social media communities: a socio-semantic network approach to altmetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 9267-9289, November.
    16. Ba, Zhichao & Liang, Zhentao, 2021. "A novel approach to measuring science-technology linkage: From the perspective of knowledge network coupling," Journal of Informetrics, Elsevier, vol. 15(3).
    17. Jennifer Kunz & Stephanie May & Holger J. Schmidt, 2020. "Sustainable luxury: current status and perspectives for future research," Business Research, Springer;German Academic Association for Business Research, vol. 13(2), pages 541-601, July.

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